Search result for Mathematics for machine learning specialization Online Courses & Certifications
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Ultimate MATLAB Programming +MATLAB Simulink For Engineering
by Rezk A.- 4.3
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17 hours on-demand video
This is a practicing course for MATLAB taught by Ahmed Rezk and Ahmed Mahdy. In this course you will start learning MATLAB : By creating and manipulating Matrices which are the key for MATLAB programming. You will learn how to use MATLAB in some Elementary Mathematics Problems. 1- Model the DC machine in no load case using Simulink in MATLAB....
$18.99
Machine Learning: Clustering & Retrieval
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 17 hours to complete
Learning Outcomes: By the end of this course, you will be able to: Important Update regarding the Machine Learning Specialization (OPTIONAL) A worked-out example for EM Implementing EM for Gaussian mixtures EM for Gaussian mixtures Implementing EM for Gaussian mixtures Mixed membership models for documents The need for Bayesian inference A standard Gibbs sampler for LDA...
Managing an Agile Team
by Alex Cowan- 4.7
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Approx. 11 hours to complete
While agile has become the de facto standard for managing digital innovation teams, many wonder if they’re doing it ‘right’. About the Agile Specialization XP Fundamentals: Learning and Deciding Make Discussion Forums Work for You Learning and Deciding Your ATM: The Learning Machine David Chait on Learning What’s Valuable Agile Methodologies and the Job of Learning...
Data Science & Deep Learning for Business™ 20 Case Studies
by Rajeev D. Ratan- 4.2
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20 hours on-demand video
Welcome to the course on Data Science & Deep Learning for Business™ 20 Case Studies! Machine Learning Theory - Linear Regressions, Logistic Regressions, Decision Trees, Random Forests, KNN, SVMs, Model Assessment, Outlier Detection, ROC & AUC and Regularization Deployment to the Cloud using AWS to build a Machine Learning API Big Data skills using PySpark for Data Manipulation and Machine Learning...
$9.99
LEARNING PATH: Learning Docker and Kubernetes
by Packt Publishing- 4.2
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5 hours on-demand video
You will then learn deployment patterns and concepts for making Kubernetes highly-available. We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data....
$12.99
Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
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Approx. 29 hours to complete
Machine Learning Supervised vs Unsupervised Learning Week 2: Means and Deviations in Mathematics and Python For Loops in Python Documentation for sklearn. 1 Can a Machine Detect Fake Notes? 2 Working for a Client Week 5 Code Resource – the Dataset for our Project Additional Recommended Reading for Week 5...
Hands-On with Kubernetes: 2-in-1
by Packt Publishing- 3.9
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4 hours on-demand video
By the end of this Learning Path, you’ll have acquired all the skills and a deeper insight into deploying software on Kubernetes and deliver results from day 1. He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data....
$9.99
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Modern Artificial Intelligence Masterclass: Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
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15 hours on-demand video
For companies to become competitive and skyrocket their growth, they need to leverage AI power to improve processes, reduce cost and increase revenue. · Project #3 (AI in Business/Marketing): Mall Customer Segmentation Using Autoencoders and Unsupervised Machine Learning Algorithms Understand the underlying theory and mathematics behind DeepDream algorithm for Art generation....
$12.99
Computational Social Science Methods
by Martin Hilbert- 4.7
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Approx. 11 hours to complete
Shelton from UC Riverside introduces us to the world of machine learning, including the basic concepts behind this current driver of much of today's computational landscape. What is this Specialization About? Examples of CSS: Machine Learning & AI Machine Learning Configure a machine to create a database that can be used for analysis....
Deep Learning with TensorFlow 2.0 [2021]
by 365 Careers- 4.7
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6 hours on-demand video
Data scientists, machine learning engineers, and AI researchers all have their own skillsets. Of course, you’ll get fully acquainted with Google’ TensorFlow and NumPy, two tools essential for creating and understanding Deep Learning algorithms. You’ll be able to spot and prevent overfitting – one of the biggest issues in machine and deep learning...
$21.99
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